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YAO SHU

27 papers · 2020–2026 · 9 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+12 more ↓ πŸ—ΊοΈ Taxonomy Completionist (54) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ‘‘ Triple Crown 🀝 Dynamic Duo (15) πŸ† Grand Slam πŸ† Keyword Champion (2) 🧭 Keyword Pioneer ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (5) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (123)

Venues

NeurIPS (7) ICML (6) ICLR (5) AAAI (2) ACL (2) EMNLP (2) CVPR (1) UAI (1) WACV (1)

Top co-authors

Bryan Kian Hsiang Low (15) Zhongxiang Dai (15) Zhaoxuan Wu (6) Patrick Jaillet (6) Wenyang Hu (5) Arun Verma (5) See-Kiong Ng (4) Fei Yu (4) Qixin Zhang (4) Xiaoqiang Lin (4)

Research topics

Machine Learning (22) Optimization & Theory Β· Machine Learning (17) Artificial Intelligence (14) Deep Learning (14) Application Areas (10) Core AI (10) Learning Types Β· Deep Learning (7) Optimization & Theory Β· Deep Learning (6) Natural Language Processing (5) Mathematics & Optimization (4) Learning Paradigms (4) Learning Types Β· Machine Learning (4) Optimization (4) Resources & Methods (4) Techniques (4)

Keywords

large language model (6) neural architecture search (5) generalization performance (3) bayesian optimization (3) zeroth-order optimization (3) neural tangent kernel (3) gaussian process (3) in-context learning (2) neural network (2) training-free metric (2) federated learning (2) hyperparameter optimization (2) prompt optimization (2) neural bandit (2) convergence (2) regret bound (2) image classification (2) prompt engineering (1) model selection (1) knowledge transfer (1)

Papers

ACE-Merging: Data-Free Model Merging with Adaptive Covariance Estimation CVPR 2026 Optimization and Robustness-Informed Membership Inference Attacks for LLMs AAAI 2026 Self-Reflective Generation at Test Time ACL 2026 Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models ICML 2025 Flexora: Flexible Low-Rank Adaptation for Large Language Models ACL 2025 FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation AAAI 2025 Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints ICML 2025 PAFT: Prompt-Agnostic Fine-Tuning EMNLP 2025 Refining Adaptive Zeroth-Order Optimization at Ease ICML 2025 WMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models ICML 2025 Localized Zeroth-Order Prompt Optimization NeurIPS 2024 OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations NeurIPS 2024 Position Paper: Data-Centric AI in the Age of Large Language Models EMNLP 2024 Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars NeurIPS 2024 Robustifying and Boosting Training-Free Neural Architecture Search ICLR 2024 Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers ICML 2024 Exploiting Correlated Auxiliary Feedback in Parameterized Bandits NeurIPS 2023 Federated Neural Bandits ICLR 2023 Quantum Bayesian Optimization NeurIPS 2023 Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation ICLR 2023 DAVINZ: Data Valuation using Deep Neural Networks at Initialization ICML 2022 NASI: Label- and Data-agnostic Neural Architecture Search at Initialization ICLR 2022 Neural ensemble search via Bayesian sampling UAI 2022 Sample-Then-Optimize Batch Neural Thompson Sampling NeurIPS 2022 Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search NeurIPS 2022 Dynamic Routing Networks WACV 2021 Understanding Architectures Learnt by Cell-based Neural Architecture Search ICLR 2020